Abstract

We describe how scale space methods can be used for quantitative analysis of blood glucose
concentrations from type 2 diabetes patients. Blood glucose values were recorded voluntarily
by the patients over one full year as part of a self-management process, where the time
and frequency of the recordings are decided by the patients. This makes a unique dataset
in its extent, though with a large variation in reliability of the recordings. Scale space and
frequency space techniques are suited to reveal important features of unevenly sampled data,
and useful for identifying medically relevant features for use both by patients as part of their
self-management process, and provide useful information for physicians.